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Implementation of network diffusion algorithms such as heat diffusion or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs.

copied from cf-staging / r-diffusr

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v0.1.4
  • osx-64 v0.1.4
  • win-64 v0.1.4

conda install

To install this package run one of the following:
conda install conda-forge::r-diffusr
conda install conda-forge/label/cf201901::r-diffusr
conda install conda-forge/label/cf202003::r-diffusr
conda install conda-forge/label/gcc7::r-diffusr

Description


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